SEMINT: A tool for identifying attribute correspondences in heterogeneous databases using neural networks.

Wen-Syan Li Chris Clifton

Published in: Data Knowl. Eng. (2000)

Keyphrases

heterogeneous databases
neural network
database
databases
schema integration
fuzzy logic
pattern recognition
artificial neural networks
data sources
point correspondences
heterogeneous data
genetic algorithm
back propagation
conceptual model
user friendly